Analytics Engineer

October 30

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Machinify, Inc.

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Machine Learning • Deep Learning • Large-scale Data Processing • Cluster Computing • Real-time predictions

51 - 200

💰 $10M Series A on 2018-10

Description

• As an Analytics Engineer on our Data Team, you’ll be at the heart of transforming raw data into powerful insights. • Working alongside product managers, data scientists, subject matter experts, and functional leads, you’ll build and fine-tune data pipelines. • Ensure our data is always accurate, accessible, and actionable. • Your insights into product usage and performance will fuel Machinify’s innovative solutions.

Requirements

• 3+ years in analytics engineering, data engineering, or data analysis, with a strong focus on building data pipelines and deriving insights. • Advanced SQL skills for complex queries and performance optimization on large datasets. • Experience with tools like Airflow to streamline data workflows. • A solid foundation in data modeling principles to design and optimize models for robust analytics. • A knack for troubleshooting data issues and optimizing data processes. • A commitment to data accuracy and integrity in every output. • Strong ability to translate complex technical information for diverse audiences. • Bonus Skills: • Experience with Python, AWS, and SparkSQL • Familiarity with Medical Healthcare claims data models